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المؤلفElrazzaz, Mohammed
المؤلفElbassuoni, Shady
المؤلفShaban, Khaled
المؤلفHelwe, Chadi
تاريخ الإتاحة2022-12-21T10:01:47Z
تاريخ النشر2017
اسم المنشورACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers)
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.18653/v1/P17-2072
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37516
الملخصMany unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first build a benchmark for the Arabic language that can be utilized to perform intrinsic evaluation of different word embeddings. We then perform additional extrinsic evaluations of the embeddings based on two NLP tasks. 2017 Association for Computational Linguistics.
راعي المشروعThis work was made possible by NPRP 6-716-1-138 grant from the Qatar National Research Fund (a member of Qatar Foundation). The statements
اللغةen
الناشرAssociation for Computational Linguistics (ACL)
الموضوعComputational linguistics
Arabic languages
Embeddings
Linguistics
العنوانMethodical evaluation of Arabic word embeddings
النوعConference Paper
الصفحات454-458
رقم المجلد2
dc.accessType Open Access


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